@inproceedings{92937dd6140b48c892bcddbf2569c4a2,
title = "Benchmarking MATLAB's gamultiobj (NSGA-II) on the bi-objective BBOB-2016 test suite",
abstract = "In this paper, we benchmark a variant of the well-known NSGA-II algorithm of Deb et al. on the biobjective family bbob-biobj test suite of the Comparing Continuous Optimizers platform COCO. To this end, we employ the implementation of MATLAB's family gamultiobj toolbox with its default settings and a population size of 100.",
keywords = "Benchmarking, Bi-objective optimization, Black-box optimization",
author = "Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Dejan Tu{\v s}ar and Tea Tuar and Tobias Wagner",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion ; Conference date: 20-07-2016 Through 24-07-2016",
year = "2016",
month = jul,
day = "20",
doi = "10.1145/2908961.2931706",
language = "English",
series = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "1233--1239",
editor = "Tobias Friedrich",
booktitle = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
}